Literature DB >> 31860015

Mortality Trends for Veterans Hospitalized With Heart Failure and Pneumonia Using Claims-Based vs Clinical Risk-Adjustment Variables.

Gabriella C Silva1, Lan Jiang2, Roee Gutman1, Wen-Chih Wu2, Vincent Mor2,3, Michael J Fine4,5, Nancy R Kressin6,7, Amal N Trivedi2,3.   

Abstract

Importance: Prior studies have reported declines in mortality for patients admitted to Veterans Health Administration (VA) and non-VA hospitals using claims-based risk adjustment. These apparent mortality reductions may be influenced by changes in coding practices. Objective: To compare trends in the VA for 30-day mortality following hospitalization for heart failure (HF) and pneumonia using claims-based and clinical risk-adjustment models. Design, Setting, and Participants: This observational time-trend study analyzed admissions to a VA Medical Center with a principal diagnosis of HF, pneumonia, or sepsis/respiratory failure (RF) with a secondary diagnosis of pneumonia. Exclusion criteria included having less than 12 months of VA enrollment, being discharged alive within 24 hours, leaving against medical advice, and hospice utilization. Exposures: Admission to a VA hospital from January 2009 through September 2015. Main Outcomes and Measures: The primary outcome was 30-day, all-cause mortality. All models included age and sex. Claims-based covariates included 22 (30) comorbidities for HF (pneumonia). Clinical covariates included vital signs, laboratory values, and ejection fraction.
Results: Among the 146 924 HF admissions, the mean (SD) age was 71.6 (11.4) years and 144 502 (98.4%) were men; among the 131 325 admissions for pneumonia, the mean (SD) age was 70.8 (12.3) years and 127 491 (97.1%) were men. Unadjusted 30-day mortality rates were 6.45% (HF) and 11.22% (pneumonia). Claims-based models showed an increased predicted risk of 30-day mortality over time (0.019 percentage points per quarter for HF [95% CI, 0.015 to 0.023]; 0.053 percentage points per quarter for pneumonia [95% CI, 0.043 to 0.063]). Clinical models showed declines or no change in predicted risk (-0.014 percentage points per quarter for HF [95% CI, -0.020 to -0.008]; -0.004 percentage points per quarter for pneumonia [95% CI, -0.017 to 0.008]). Claims-based risk adjustment yielded declines in 30-day mortality of 0.051 percentage points per quarter for HF (95% CI, -0.074 to -0.027) and 0.084 percentage points per quarter for pneumonia (95% CI, -0.111 to -0.056). Models adjusting for clinical covariates attenuated or eliminated these changes for HF (-0.017 percentage points per quarter; 95% CI, -0.039 to 0.006) and for pneumonia (-0.026 percentage points per quarter; 95% CI, -0.052 to 0.001). Compared with the claims-based models, the clinical models for HF and pneumonia more accurately differentiated between patients who died after 30 days and those who did not. Conclusions and Relevance: Among HF and pneumonia hospitalizations, adjusting for clinical covariates attenuated declines in mortality rates identified using claims-based models. Assessments of temporal trends in 30-day mortality using claims-based risk adjustment should be interpreted with caution.

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Mesh:

Year:  2020        PMID: 31860015      PMCID: PMC6990854          DOI: 10.1001/jamainternmed.2019.5970

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  8 in total

1.  Assessing the Agreement of Hospital Performance on 3 National Mortality Ratings for 2 Common Inpatient Conditions.

Authors:  J Matthew Austin; Jordan M Derk; Allen Kachalia; Peter J Pronovost
Journal:  JAMA Intern Med       Date:  2020-06-01       Impact factor: 21.873

2.  Racial/Ethnic Differences in 30-Day Mortality for Heart Failure and Pneumonia in the Veterans Health Administration Using Claims-based, Clinical, and Social Risk-adjustment Variables.

Authors:  Gabriella C Silva; Lan Jiang; Roee Gutman; Wen-Chih Wu; Vincent Mor; Michael J Fine; Nancy R Kressin; Amal N Trivedi
Journal:  Med Care       Date:  2021-12-01       Impact factor: 2.983

3.  The Impact of Principal Diagnosis on Readmission Risk among Patients Hospitalized for Community-Acquired Pneumonia.

Authors:  Gregory W Ruhnke; Peter K Lindenauer; Christopher S Lyttle; David O Meltzer
Journal:  Am J Med Qual       Date:  2022-01-11       Impact factor: 1.200

4.  Temporal trends in risk profiles among patients hospitalized for heart failure.

Authors:  Carine E Hamo; Gregg C Fonarow; Stephen J Greene; Muthiah Vaduganathan; Clyde W Yancy; Paul Heidenreich; Di Lu; Roland A Matsouaka; Adam D DeVore; Javed Butler
Journal:  Am Heart J       Date:  2020-11-29       Impact factor: 4.749

5.  Impact of Risk Adjustment Using Clinical vs Administrative Data on Hospital Sepsis Mortality Comparisons.

Authors:  Chanu Rhee; Zhonghe Li; Rui Wang; Yue Song; Sameer S Kadri; Edward J Septimus; Huai-Chun Chen; David Fram; Robert Jin; Russell Poland; Kenneth Sands; Michael Klompas
Journal:  Open Forum Infect Dis       Date:  2020-06-25       Impact factor: 3.835

6.  Evaluation of Changes in Veterans Affairs Medical Centers' Mortality Rates After Risk Adjustment for Socioeconomic Status.

Authors:  Amal N Trivedi; Lan Jiang; Gabriella Silva; Wen-Chih Wu; Vincent Mor; Michael J Fine; Nancy R Kressin; Roee Gutman
Journal:  JAMA Netw Open       Date:  2020-12-01

7.  Trends in Illness Severity, Hospitalization, and Mortality for Community-Onset Pneumonia at 118 US Veterans Affairs Medical Centers.

Authors:  Barbara E Jones; Jian Ying; Mckenna R Nevers; Patrick R Alba; Olga V Patterson; Kelly S Peterson; Elizabeth Rutter; Matthew A Christensen; Sarah Stern; Makoto M Jones; Adi Gundlapalli; Nathan C Dean; Matthew C Samore; Tome Greene
Journal:  J Gen Intern Med       Date:  2022-03-09       Impact factor: 5.128

Review 8.  Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data.

Authors:  Melissa Y Wei; Jamie E Luster; Chiao-Li Chan; Lillian Min
Journal:  BMC Health Serv Res       Date:  2020-06-01       Impact factor: 2.655

  8 in total

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